Missing data imputation using an iterative denoising autoencoder (IDAE) for dissolved gas analysis

B Seo, J Shin, T Kim, BD Youn - Electric Power Systems Research, 2022 - Elsevier
With the expansion of the energy market, safe and stable operation of the electrical power
system has become an important issue. In an effort to achieve this goal, much research has …

Hybrid DGA Method for Power Transformer Faults Diagnosis Based on Evolutionary k-Means Clustering and Dissolved Gas Subsets Analysis

A Nanfak, S Eke, F Meghnefi, I Fofana… - … on Dielectrics and …, 2023 - ieeexplore.ieee.org
Considered as the heart of electrical power transmission and distribution networks, power
transformers are essential part of the electricity transmission grid. Among the condition …

Traditional fault diagnosis methods for mineral oil‐immersed power transformer based on dissolved gas analysis: Past, present and future

A Nanfak, E Samuel, I Fofana, F Meghnefi… - IET …, 2024 - Wiley Online Library
A key factor in ensuring the efficient and safe operation of power transformers is the early
and accurate diagnosis of incipient faults. Among the tools available to achieve this goal …

Co, Rh decorated GaNNTs for online monitoring of characteristic decomposition products in oil-immersed transformer

Y Gui, L Xu, Z Ding, L Ran, X Chen, C Tang - Applied Surface Science, 2021 - Elsevier
Oil-immersed transformer is one of the most widely used electrical equipment in modern
power systems due to its high utilization, safe reliability, and high space utilization. Real-time …

A combined technique for power transformer fault diagnosis based on k‐means clustering and support vector machine

A Nanfak, A Hechifa, S Eke, A Lakehal… - IET …, 2024 - Wiley Online Library
This contribution presents a two‐step hybrid diagnostic approach, combining k‐means
clustering for subset formation, followed by subset analysis conducted by human experts. As …

A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil

G Du, Z Sheng, J Liu, Y Gao, C Xin, W Ma - Processes, 2024 - mdpi.com
The prediction of dissolved gas change trends in power transformer oil is very important for
the diagnosis of transformer faults and ensuring its safe operation. Considering the time …

Study on XY Model and Its Equivalent Circuit of Oil‐Paper Insulation

Y Tu, S Wang, Q Xu, F Lin, H Li - IEEJ Transactions on …, 2023 - Wiley Online Library
The XY model of oil‐paper insulation connects the dielectric properties of oil, paper and oil‐
paper system. Its equivalent circuit is the basis of the application of dielectric response …

Fault Diagnosis of Oil‐Immersed Power Transformers Using SVM and Logarithmic Arctangent Transform

Q Hu, J Mo, S Ruan, X Zhang - IEEJ Transactions on Electrical …, 2022 - Wiley Online Library
A new method of dissolved gas analysis is proposed to improve the accuracy of transformer
fault diagnosis. The slime mold optimized support vector machine (SMA‐SVM), and …

Application of Dissolved Gas Analysis for Transformer Condition Assessment Using Computational Intelligence

TB Lubisi, JA Jordaan, AO Akumu… - 2022 30th Southern …, 2022 - ieeexplore.ieee.org
Dissolved gas analysis is widely used in the detection of power transformer incipient faults.
Presently, the interpretation of the dissolved gases is dependent on an expert's opinion at …

[PDF][PDF] Machine learning algorithms for fault data analytics in power transformers: a literature review

V Estevesa, J Pinto, R Sousa - 2020 - josepedropinto.com
One of the most crucial elements of electrical system networks is the power transformer. The
failure of this component can be extremely damaging, which is leading to mounting research …